create_index#
- langchain_community.retrievers.nanopq.create_index(contexts: List[str], embeddings: Embeddings) ndarray[source]#
Create an index of embeddings for a list of contexts.
- Parameters:
contexts (List[str]) – List of contexts to embed.
embeddings (Embeddings) – Embeddings model to use.
- Returns:
Index of embeddings.
- Return type:
ndarray